ThresholdROC: Optimum Threshold Estimation

Functions that provide point and interval estimations of optimum thresholds for continuous diagnostic tests. The methodology used is based on minimizing an overall cost function in the two- and three-state settings. We also provide functions for sample size determination and estimation of diagnostic accuracy measures. We also include graphical tools. The statistical methodology used here can be found in Perez-Jaume et al (2017) <doi:10.18637/jss.v082.i04> and in Skaltsa et al (2010, 2012) <doi:10.1002/bimj.200900294>, <doi:10.1002/sim.4369>.

Version: 2.9.4
Depends: R (≥ 3.1)
Imports: MASS, numDeriv, pROC, ks
Published: 2024-04-12
DOI: 10.32614/CRAN.package.ThresholdROC
Author: Sara Perez-Jaume [aut, cre], Natalia Pallares [aut], Konstantina Skaltsa [aut]
Maintainer: Sara Perez-Jaume <spjaume at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: ThresholdROC citation info
CRAN checks: ThresholdROC results


Reference manual: ThresholdROC.pdf


Package source: ThresholdROC_2.9.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ThresholdROC_2.9.4.tgz, r-oldrel (arm64): ThresholdROC_2.9.4.tgz, r-release (x86_64): ThresholdROC_2.9.4.tgz, r-oldrel (x86_64): ThresholdROC_2.9.4.tgz
Old sources: ThresholdROC archive

Reverse dependencies:

Reverse imports: ThresholdROCsurvival


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